typoverflow / .dotfilesLinks
A repo containing bash scripts to deploy reinforcement learning dev environment within one click!
☆10Updated 2 months ago
Alternatives and similar repositories for .dotfiles
Users that are interested in .dotfiles are comparing it to the libraries listed below
Sorting:
- A python module designed for agile RL algorithm developing.☆26Updated last year
- NJU-IT侠社团网站系统，包括预约和后台等等...☆16Updated 3 years ago
- A beamer template for LAMDA lab at NJU☆14Updated 4 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆20Updated 3 months ago
- ☆12Updated last year
- 基于树莓派（Pi）和PyGame的魔镜（Mirror）☆17Updated 2 years ago
- NJU-IT侠聊天机器人☆10Updated 3 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆19Updated 8 months ago
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆16Updated 3 years ago
- D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.☆11Updated 3 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆28Updated 9 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 3 months ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆25Updated 2 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆13Updated last year
- ☆17Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Updated 3 years ago
- [NeurIPS 2022] Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learn…☆23Updated 5 months ago
- ☆30Updated 2 years ago
- RLA is a tool for managing your RL experiments automatically☆30Updated 6 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 4 months ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆19Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆32Updated 7 months ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- ☆17Updated 6 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆38Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 8 months ago